Changed old links in NEWS

CRAN-SUBMISSION

@@ -1,3 +1,3 @@
-Version: 1.1.2
-Date: 2024-02-03 15:31:07 UTC
-SHA: 9eebdab2e583bf97d51dff9e7783df2b87751097
+Version: 1.2.0
+Date: 2024-07-12 11:23:55 UTC
+SHA: 5f64153bac8a66b086728b2ae21ad12f6d5356f5

DESCRIPTION

@@ -30,5 +30,5 @@ Imports:
 Suggests: 
     testthat (>= 3.0.0)
 Config/testthat/edition: 3
-URL: https://github.com/ModelOriented/hstats, https://ModelOriented.github.io/hstats
-BugReports: https://github.com/ModelOriented/hstats/issues
+URL: https://github.com/ModelOriented/hstats/, https://modeloriented.github.io/hstats/
+BugReports: https://github.com/ModelOriented/hstats/issues/

NEWS.md

@@ -1,18 +1,14 @@
 # hstats 1.2.0
 
-## New home
+## My new home
 
 - My brand new home: https://github.com/ModelOriented/hstats
 
-## Major changes
+## Other changes
 
 - Factor-valued predictions are no longer possible.
 - Consequently, also removed "classification_error" loss.
 
-## Minor changes
-
-- Code simplifications.
-
 # hstats 1.1.2
 
 ## ICE plots
@@ -28,29 +24,29 @@
 
 ## Performance improvements
 
-- For pure data.frames (no tibbles, data.tables etc.), most functions are significantly faster ([#110](https://github.com/mayer79/hstats/pull/110)).
-- Slight speed-up of permutation importance for non-matrix `X` ([#109](https://github.com/mayer79/hstats/pull/109)).
+- For pure data.frames (no tibbles, data.tables etc.), most functions are significantly faster ([#110](https://github.com/ModelOriented/hstats/pull/110)).
+- Slight speed-up of permutation importance for non-matrix `X` ([#109](https://github.com/ModelOriented/hstats/pull/109)).
 
 ## Other changes
 
-- In multivariate cases, it was possible that normalized H-statistics could equal `0/0 (= NaN)`. Such values are now replaced by 0 ([#107](https://github.com/mayer79/hstats/issues/107)).
-- Removed an unnecessary special case when calculating column means ([#106](https://github.com/mayer79/hstats/pull/106)).
+- In multivariate cases, it was possible that normalized H-statistics could equal `0/0 (= NaN)`. Such values are now replaced by 0 ([#107](https://github.com/ModelOriented/hstats/issues/107)).
+- Removed an unnecessary special case when calculating column means ([#106](https://github.com/ModelOriented/hstats/pull/106)).
 
 # hstats 1.1.0
 
 ## Enhancements
 
-- {hstats} now also works for factor predictions. The levels are represented by one-hot-encoded columns ([PR#101](https://github.com/mayer79/hstats/pull/101)).
-- The plot method of a two-dimensional PDP has recieved the option `d2_geom = "line"`. Instead of a heatmap of the two features, one of the features is moved to color grouping. Combined with `swap_dim = TRUE`, you can swap the role of the two `v` variables without recalculating anything. The idea was proposed by [Roel Verbelen](https://github.com/RoelVerbelen) in [issue #91](https://github.com/mayer79/hstats/issues/91), see also [issue #94](https://github.com/mayer79/hstats/issues/94).
+- {hstats} now also works for factor predictions. The levels are represented by one-hot-encoded columns ([PR#101](https://github.com/ModelOriented/hstats/pull/101)).
+- The plot method of a two-dimensional PDP has recieved the option `d2_geom = "line"`. Instead of a heatmap of the two features, one of the features is moved to color grouping. Combined with `swap_dim = TRUE`, you can swap the role of the two `v` variables without recalculating anything. The idea was proposed by [Roel Verbelen](https://github.com/RoelVerbelen) in [issue #91](https://github.com/ModelOriented/hstats/issues/91), see also [issue #94](https://github.com/ModelOriented/hstats/issues/94).
 
 ## Bug fixes
 
-- Using `BY` and `w` via column names would fail for tibbles. This problem was described in [#92](https://github.com/mayer79/hstats/issues/92) by [Roel Verbelen](https://github.com/RoelVerbelen). Thx!
+- Using `BY` and `w` via column names would fail for tibbles. This problem was described in [#92](https://github.com/ModelOriented/hstats/issues/92) by [Roel Verbelen](https://github.com/RoelVerbelen). Thx!
 
 ## Other changes
 
-- Much faster one-hot-encoding, thanks to Mathias Ambühl ([PR#101](https://github.com/mayer79/hstats/pull/101)).
-- Most functions are slightly faster ([PR#101](https://github.com/mayer79/hstats/pull/101)).
+- Much faster one-hot-encoding, thanks to Mathias Ambühl ([PR#101](https://github.com/ModelOriented/hstats/pull/101)).
+- Most functions are slightly faster ([PR#101](https://github.com/ModelOriented/hstats/pull/101)).
 - Add unit tests to compare against {iml}.
 - Made all examples "tibble" and "data.table" friendly.
 - Revised input checks in loss functions (relevant for `perm_importance()` and `average_loss()`).

cran-comments.md

@@ -1,4 +1,8 @@
-# hstats 1.2.0
+# Re-submission: hstats 1.2.0
+
+Moving the github repo has left some old links in the NEWS file. This is fixed here.
+
+# Original message
 
 Hello CRAN